Job ID: 156804

Brandeis Machine Learning Postdoc Fellow in Glycomaterials

Brandeis University

  • Apr. 1, 2021
 
  • Brandeis Machine Learning Postdoc Fellow in Glycomaterials
  • Computer Science
  • Brandeis University
    Waltham, MA
 
  • Open until filled
  • As soon as August 1st 2021
  •  
 
  • Post-Doc
  • Physics - General
    Computer/Information Sciences
    Chemistry - Analytical
    Biology - Computational
 
 

The Brandeis Computer Science has an opening for a postdoc fellow to join the NSF GlycoMIP research team (https://glycomip.org/). GlycoMIP is an NSF-funded Materials Innovation Platform ($23 million) that tackles the scientific and technological bottlenecks in glycomaterials research. This position is responsible for developing machine learning techniques for structure analysis of glycomaterials using MS/MS and NMR, and should work closely with other team members of GlycoMIP. The ideal candidate would be well knowledgeable in machine learning and deep learning, experienced in performing large-scale data analyses, proficiency in object-oriented programming (e.g., in Python), and hold a PhD in computer science, applied math, biophysics/physics, theoretical or computational chemistry, or a related field.

Start Date: As soon as August 1st 2021. Location: Brandeis University, Waltham, MA 02453, USA.

Brandeis University offers the following benefits to postdocs:

  • Paid leave programs – vacation, sick leave, holidays
  • Extended Illness Benefit – provides initial short-term disability benefits
  • Disability Benefits – provides additional disability benefits after Extended Illness Benefit is exhausted
  • Life Insurance coverage
  • Employee Assistance Program
  • COBRA Administration (continuation of health coverage after separation or certain events)
  • Workers Compensation
  • Unemployment Compensation
  • All benefits already provided (healthcare plans and social security contributions)


  • Brandeis University is an equal opportunity employer, committed to building a culturally diverse intellectual community, and strongly encourages applications from women and minorities. Diversity in its student body, staff and faculty is important to Brandeis’ primary mission of providing a quality education. The search committee is therefore particularly interested in candidates who, through their creative endeavors, teaching and/or service experiences, will increase Brandeis’ reputation for academic excellence and better prepare its students for a pluralistic society.


 
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Contact Information

 
  • Pengyu Hong
    Computer Science
    Brandeis University
    415 South St
    Waltham, MA 02453-2728
  •  
  • 781-736-2729
  • hongpeng@brandeis.edu


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